Prediction of permeability and effective porosity values using ANN in Maleh field

Prediction of permeability and effective porosity values using ANN in Maleh field

This study presents the development of an intelligent system designed to predict permeability and effective porosity in wells where core samples are unavailable. An artificial neural network (ANN) was constructed with three hidden layers—comprising 15, 10, and 4 neurons, respectively—utilizing well...

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Bibliographic Details
Main Authors: Mohammed Essa Nassani, Ali Alaji
Format: Article
Language:English
Published: Universidad Nacional Autónoma de México, Instituto de Geofísica 2025-07-01
Series:Geofísica Internacional
Subjects:
maleh field
well logging
permeability
effective porosity
artificial intelligence
cores
artificial neural network (ann)
Online Access:https://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1830
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